Global temperature calibration of the Long chain Diol Index in marine surface sediments

Marijke W. de Bar; Gabriella Weiss; Caglar Yildiz; Sebastiaan W. Rampen; Julie Lattaud; Nicole J. Bale; Furu Mienis; Geert Jan A. Brummer; Hartmut Schulz; Darci Rush; Jung Hyun Kim; Barbara Donner; Jochen Knies; Andreas Lückge; Jan Berend W. Stuut; Jaap S. Sinninghe Damsté; Stefan Schouten

doi:10.1016/j.orggeochem.2020.103983

Global temperature calibration of the Long chain Diol Index in marine surface sediments

Marijke W. de Bar^*, Gabriella Weiss, Caglar Yildiz, Sebastiaan W. Rampen, Julie Lattaud, Nicole J. Bale, Furu Mienis, Geert Jan A. Brummer, Hartmut Schulz, Darci Rush, Jung Hyun Kim, Barbara Donner, Jochen Knies, Andreas Lückge, Jan Berend W. Stuut, Jaap S. Sinninghe Damsté, Stefan Schouten

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

Abstract

The Long chain Diol Index (LDI) is a relatively new organic geochemical proxy for sea surface temperature (SST), based on the abundance of the C₃₀ 1,15-diol relative to the summed abundance of the C₂₈ 1,13-, C₃₀ 1,13- and C₃₀ 1,15-diols. Here we substantially extend and re-evaluate the initial core top calibration by combining the original dataset with 172 data points derived from previously published studies and 262 newly generated data points. In total, we considered 595 globally distributed surface sediments with an enhanced geographical coverage compared to the original calibration. The relationship with SST is similar to that of the original calibration but with considerably increased scatter. The effects of freshwater input (e.g., river runoff) and long-chain diol contribution from Proboscia diatoms on the LDI were evaluated. Exclusion of core-tops deposited at a salinity < 32 ppt, as well as core-tops with high Proboscia-derived C₂₈ 1,12-diol abundance, resulted in a substantial improvement of the relationship between LDI and annual mean SST. This implies that the LDI cannot be directly applied in regions with a strong freshwater influence or high C₂₈ 1,12-diol abundance, limiting the applicability of the LDI. The final LDI calibration (LDI = 0.0325 × SST + 0.1082; R² = 0.88; n = 514) is not statistically different from the original calibration of Rampen et al. (2012) (https://doi.org/10.1016/j.gca.2012.01.024), although with a larger calibration error of 3 °C. This larger calibration error results from several regions where the LDI does not seem to have a strong temperature dependence with annual mean SST, posing a limitation on the application of the LDI.

Original language	English
Article number	103983
Number of pages	12
Journal	Organic Geochemistry
Volume	142
DOIs	https://doi.org/10.1016/j.orggeochem.2020.103983
Publication status	Published - 1 Apr 2020

Funding

We thank Andy Revill, Liz Sikes, John Volkman and two anonymous reviewers for useful comments which improved the manuscript. We are grateful to various people who have worked-up or provided core-top sediments: Tjerk Veenstra, and Steven D’Hondt for Pacific core-tops recovered during the R/V Knorr expedition 195-3 ( US National Science Foundation grant OCE-0752336 ), Isla Castañeda (Mozambique Channel), Ivan Tomberg and Roselyne Buscail (Gulf of Lion), Claudia Zell and David Hollander (Amazon Basin), Kees Booij (Berau Delta), Cindy de Jonge, Alina Stadnitskaia and Georgy Cherkashov (Kara Sea), Li Lo (Okhotsk Sea), Marcel van der Meer (Mediterranean), Laura Villanueva (Black Sea) and Zeynep Erdem (Chilean margin). We thank Allert Bijleveld for statistical advice. This research has been funded by the European Research Council (ERC) under the European 555 Union’s Seventh Framework Program ( FP7/2007-2013 ) ERC grant agreement [ 339206 ] to S.S. Both S.S. and J.S.S.D. receive funding from the Netherlands Earth System Science Center (NESSC) through a Gravitation grant from the Dutch ministry for Education, Culture and Science (grant number 024.002.001 ).

Keywords

Freshwater
LDI core-top calibration
Long-chain diols
Proboscia diatoms
SST

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.orggeochem.2020.103983

1-s2.0-S0146638020300188-mainFinal published version, 4.02 MBLicence: Taverne

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de Bar, M. W., Weiss, G., Yildiz, C., Rampen, S. W., Lattaud, J., Bale, N. J., Mienis, F., Brummer, G. J. A., Schulz, H., Rush, D., Kim, J. H., Donner, B., Knies, J., Lückge, A., Stuut, J. B. W., Sinninghe Damsté, J. S., & Schouten, S. (2020). Global temperature calibration of the Long chain Diol Index in marine surface sediments. Organic Geochemistry, 142, Article 103983. https://doi.org/10.1016/j.orggeochem.2020.103983

@article{f77bec79e6e841c2ab4066b8192d3255,

title = "Global temperature calibration of the Long chain Diol Index in marine surface sediments",

abstract = "The Long chain Diol Index (LDI) is a relatively new organic geochemical proxy for sea surface temperature (SST), based on the abundance of the C30 1,15-diol relative to the summed abundance of the C28 1,13-, C30 1,13- and C30 1,15-diols. Here we substantially extend and re-evaluate the initial core top calibration by combining the original dataset with 172 data points derived from previously published studies and 262 newly generated data points. In total, we considered 595 globally distributed surface sediments with an enhanced geographical coverage compared to the original calibration. The relationship with SST is similar to that of the original calibration but with considerably increased scatter. The effects of freshwater input (e.g., river runoff) and long-chain diol contribution from Proboscia diatoms on the LDI were evaluated. Exclusion of core-tops deposited at a salinity < 32 ppt, as well as core-tops with high Proboscia-derived C28 1,12-diol abundance, resulted in a substantial improvement of the relationship between LDI and annual mean SST. This implies that the LDI cannot be directly applied in regions with a strong freshwater influence or high C28 1,12-diol abundance, limiting the applicability of the LDI. The final LDI calibration (LDI = 0.0325 × SST + 0.1082; R2 = 0.88; n = 514) is not statistically different from the original calibration of Rampen et al. (2012) (https://doi.org/10.1016/j.gca.2012.01.024), although with a larger calibration error of 3 °C. This larger calibration error results from several regions where the LDI does not seem to have a strong temperature dependence with annual mean SST, posing a limitation on the application of the LDI.",

keywords = "Freshwater, LDI core-top calibration, Long-chain diols, Proboscia diatoms, SST",

author = "{de Bar}, {Marijke W.} and Gabriella Weiss and Caglar Yildiz and Rampen, {Sebastiaan W.} and Julie Lattaud and Bale, {Nicole J.} and Furu Mienis and Brummer, {Geert Jan A.} and Hartmut Schulz and Darci Rush and Kim, {Jung Hyun} and Barbara Donner and Jochen Knies and Andreas L{\"u}ckge and Stuut, {Jan Berend W.} and {Sinninghe Damst{\'e}}, {Jaap S.} and Stefan Schouten",

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doi = "10.1016/j.orggeochem.2020.103983",

language = "English",

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journal = "Organic Geochemistry",

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de Bar, MW, Weiss, G, Yildiz, C, Rampen, SW, Lattaud, J, Bale, NJ, Mienis, F, Brummer, GJA, Schulz, H, Rush, D, Kim, JH, Donner, B, Knies, J, Lückge, A, Stuut, JBW, Sinninghe Damsté, JS & Schouten, S 2020, 'Global temperature calibration of the Long chain Diol Index in marine surface sediments', Organic Geochemistry, vol. 142, 103983. https://doi.org/10.1016/j.orggeochem.2020.103983

TY - JOUR

T1 - Global temperature calibration of the Long chain Diol Index in marine surface sediments

AU - de Bar, Marijke W.

AU - Weiss, Gabriella

AU - Yildiz, Caglar

AU - Rampen, Sebastiaan W.

AU - Lattaud, Julie

AU - Bale, Nicole J.

AU - Mienis, Furu

AU - Brummer, Geert Jan A.

AU - Schulz, Hartmut

AU - Rush, Darci

AU - Kim, Jung Hyun

AU - Donner, Barbara

AU - Knies, Jochen

AU - Lückge, Andreas

AU - Stuut, Jan Berend W.

AU - Sinninghe Damsté, Jaap S.

AU - Schouten, Stefan

PY - 2020/4/1

Y1 - 2020/4/1

N2 - The Long chain Diol Index (LDI) is a relatively new organic geochemical proxy for sea surface temperature (SST), based on the abundance of the C30 1,15-diol relative to the summed abundance of the C28 1,13-, C30 1,13- and C30 1,15-diols. Here we substantially extend and re-evaluate the initial core top calibration by combining the original dataset with 172 data points derived from previously published studies and 262 newly generated data points. In total, we considered 595 globally distributed surface sediments with an enhanced geographical coverage compared to the original calibration. The relationship with SST is similar to that of the original calibration but with considerably increased scatter. The effects of freshwater input (e.g., river runoff) and long-chain diol contribution from Proboscia diatoms on the LDI were evaluated. Exclusion of core-tops deposited at a salinity < 32 ppt, as well as core-tops with high Proboscia-derived C28 1,12-diol abundance, resulted in a substantial improvement of the relationship between LDI and annual mean SST. This implies that the LDI cannot be directly applied in regions with a strong freshwater influence or high C28 1,12-diol abundance, limiting the applicability of the LDI. The final LDI calibration (LDI = 0.0325 × SST + 0.1082; R2 = 0.88; n = 514) is not statistically different from the original calibration of Rampen et al. (2012) (https://doi.org/10.1016/j.gca.2012.01.024), although with a larger calibration error of 3 °C. This larger calibration error results from several regions where the LDI does not seem to have a strong temperature dependence with annual mean SST, posing a limitation on the application of the LDI.

AB - The Long chain Diol Index (LDI) is a relatively new organic geochemical proxy for sea surface temperature (SST), based on the abundance of the C30 1,15-diol relative to the summed abundance of the C28 1,13-, C30 1,13- and C30 1,15-diols. Here we substantially extend and re-evaluate the initial core top calibration by combining the original dataset with 172 data points derived from previously published studies and 262 newly generated data points. In total, we considered 595 globally distributed surface sediments with an enhanced geographical coverage compared to the original calibration. The relationship with SST is similar to that of the original calibration but with considerably increased scatter. The effects of freshwater input (e.g., river runoff) and long-chain diol contribution from Proboscia diatoms on the LDI were evaluated. Exclusion of core-tops deposited at a salinity < 32 ppt, as well as core-tops with high Proboscia-derived C28 1,12-diol abundance, resulted in a substantial improvement of the relationship between LDI and annual mean SST. This implies that the LDI cannot be directly applied in regions with a strong freshwater influence or high C28 1,12-diol abundance, limiting the applicability of the LDI. The final LDI calibration (LDI = 0.0325 × SST + 0.1082; R2 = 0.88; n = 514) is not statistically different from the original calibration of Rampen et al. (2012) (https://doi.org/10.1016/j.gca.2012.01.024), although with a larger calibration error of 3 °C. This larger calibration error results from several regions where the LDI does not seem to have a strong temperature dependence with annual mean SST, posing a limitation on the application of the LDI.

KW - Freshwater

KW - LDI core-top calibration

KW - Long-chain diols

KW - Proboscia diatoms

KW - SST

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U2 - 10.1016/j.orggeochem.2020.103983

DO - 10.1016/j.orggeochem.2020.103983

M3 - Article

AN - SCOPUS:85082819188

SN - 0146-6380

VL - 142

JO - Organic Geochemistry

JF - Organic Geochemistry

M1 - 103983

ER -

Global temperature calibration of the Long chain Diol Index in marine surface sediments

Abstract

Funding

Keywords

UN SDGs

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